save_tracks
Save Spotify tracks to your Liked Songs directly. Pass track IDs as an array to add them to your library.
Instructions
Add tracks to the user's Liked Songs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| track_ids | Yes |
Save Spotify tracks to your Liked Songs directly. Pass track IDs as an array to add them to your library.
Add tracks to the user's Liked Songs.
| Name | Required | Description | Default |
|---|---|---|---|
| track_ids | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden of explaining behavior. It only states that the action is an addition; it does not disclose whether repeated saves are idempotent, whether limits other than the schema's 200-item cap affect behavior, what side effects occur, or what the response will be. This is minimal for a mutating tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word contributes to stating the operation's purpose, so it earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a very simple one-parameter tool, the description is minimally viable: it states the action and the target resource, and the schema covers the parameter shape. Still, with no annotations or output schema, some useful context is absent, such as that the operation targets the current user's library and how duplicate or already-saved tracks are handled.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description overlaps semantically but does not add meaningful parameter details. It does not explain what format track_ids entries should take, such as Spotify track IDs versus URIs, or whether duplicate IDs are allowed. The only added signal is that the parameter refers to tracks.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description says exactly what the tool does: 'Add tracks to the user's Liked Songs' with a specific verb and resource. It also distinguishes this from sibling tools like add_tracks, which implies use on playlists rather than the Liked Songs collection.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage is implied clearly: use this when the user wants to store tracks in their Liked Songs. However, it does not explicitly mention alternatives such as add_tracks, remove_saved_tracks, or get_saved_tracks, nor does it state when not to use this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/oliver-virt/spotify-library-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server